5 shows the frequency of human rating scores for the mental model dimensions, andFigure 6 shows the frequency of human rating scores for the mental model uses. The color ineach plot corresponds to temperature values. The rows of plots correspond to the model’srankings of the questions (i.e., top choice, second choice, and third choice). For example, “QRanking 1” was all the questions that the model ranked highest, “Q Ranking 2” was all thequestions that the model ranked second highest, and “Q Ranking 3” was all the questions rankedthird highest. Looking at the questions in this way illustrates our main findings. First, themodel’s rankings were not necessarily aligned with the human’s rankings. Second, thetemperature did not produce any
Analysis: A Methods Sourcebook. SAGE Publications, 2018.[29] J. Saldaña, The Coding Manual for Qualitative Researchers. SAGE Publications, 2021.[30] J. W. Creswell, Qualitative inquiry and research design: choosing among five approaches, 3rd ed. Los Angeles: SAGE Publications, 2013.[31] C. Raffel et al., “Exploring the limits of transfer learning with a unified Text-to-Text Transformer.” arXiv, Jul. 28, 2020. Accessed: Apr. 03, 2023. [Online]. Available: http://arxiv.org/abs/1910.10683[32] OpenAI, “GPT-4 Technical Report.” arXiv, Mar. 27, 2023. doi: 10.48550/arXiv.2303.08774.[33] A. Q. Jiang et al., “Mixtral of Experts.” arXiv, Jan. 08, 2024. doi: 10.48550/arXiv.2401.04088.[34] “AI Coding powered by
there anything that would prevent someone from being an engineer?In the second part of the interview, participants were provided with a list of 33 words or phrasesand asked to sort these based on how well they described engineers or engineering. Sort itemsincluded characteristics such as “prefer work as part of a team” and “great at math,” andparticipants sorted the words or phrases on a scale from “no engineers do/are/have” to “allengineers do/are/have.”The sort procedure used in this study was a modified form of Q-sort methodology [Brown –Computer monitor]. As the participants sorted the items, the researchers asked questions togather more information about their perceptions and any potentially unclear sort items.Participants were also given
their major. Nazempour et al. [4] provide more details regarding the SBP structure,execution, and assessment.Summer Bridge Program for cohort III was held virtually via Zoom in the Spring of 2021 due tothe COVID-19 pandemic. During this 2-hour online workshop, cohort III of scholars becameacquainted with the program, faculty mentors, and some cohorts I and II scholars. There was alsoa Q/A session in that cohort III scholars asked questions from scholars of other cohorts andfaculties.Mentorship Program. To ensure that all scholars have access to resources and feel supported,each scholar was assigned to a faculty mentor from the academic department corresponding tothe scholar's major. Cohort I and II scholars were assigned to their faculty
students' identification with engineering. Paperpresented at the Frontiers in EducationConference (FIE), 2010 IEEE.[6] Tonso, K. L. (2006). Student engineers and engineer identity: Campus engineer identities as figured world.Cultural Studies of Science Education, 1(2), 273-307.[7] Pierrakos, O., Beam, T. K., Constantz, J., Johri, A., & Anderson, R. (2009). On the development of aprofessional identity: Engineering persisters vs engineering switchers. Paper presented at the Frontiers inEducation Conference, 2009. FIE'09. 39th IEEE [8] Patrick, A., & Borrego, M. (2016, June). A Review of the Literature Relevant to Engineering Identity.In American Society for Engineering Education Annual Conference,.[9] Li, Q., Swaminathan, H., & Tang, J
biology and medicine.” Genome Medicine, vol. 5, no. 9, Sep., 2013.[5] P. Pevzner and R. Shamir, “Computing has changed biology: Biology education must catch up,” Science, vol. 325, no. 5940, Jul., 2009.[6] T. Hsu, S. Chang, and Y. Hung, “How to learn and how to teach computational thinking: Suggestions based on a review of the literature,” Computers & Education, vol. 126, Nov., 2018.[7] D. Kotsopoulos, L. Floyd, S. Khan, I. Namukasa, S. Somanath, J. Weber and C. Yiu, “A pedagogical framework for computational thinking,” Digital Experiences in Mathematics Education, vol. 3, no. 2, Mar., 2017.[8] X. Tang, Y. Yin, Q. Lin, R. Hadad, and X. Zhai, “Assessing computational thinking: A systematic
culture - and incorporating those findings into asset based reflections ofSNA data - will enable project leadership to achieve the highest levels of project success. It isour sincere hope that readers of this work (and viewers of the accompanying poster) will developtheir own mixed method SNA - cultural analysis educational research studies and reflectsuccessfully on the findings.This material is based upon work supported by the National Science Foundation (DUE-1626287,DUE-1626185, and DUE-1626148) including two Graduate Research Fellowships (DGE-133486). References[1] M. Q. Patton, Utilization-Focused Evaluation (4th ed.). Sage publications, 2008.[2] J. E. Grunig, “Qualitative methods for
CHEM1412 General Inorganic and course was the bridge Grade General Chemistry I Environmental taken in fall course Chemistry II Totals (%) Chemistry 2020 ABC 11 (46%) YES DF 8 (33%) n=24 Q 5 (21%) N/A ABC 11 (41%) 1 (100%) NO DF 12 (44%) n=36 QW 4 (15%) 2 (100%) N/A
, online, 2020.[14] S. K. Gilmartin, H. L. Chen, M. F. Schar, Q. Jin, G. Toye, A. Harris, E. Cao, E. Costache,M. Reithmann and S. D. Sheppard, "Designing a longitudinal study of engineering students’innovation and engineering interestsand plans: The Engineering Majors Survey Project. EMS 1.0and 2.0 Technical Report.," Stanford, CA, 2017.[15] A. C. Kusimo, S. Sheppard, M. E. Thompson and S. A. Atwood, "2018 BEST DIVERSITYPAPER: Effects of Research and Internship Experiences on Engineering Task SelfEfficacy onEngineering Students Through an Intersectional Lens.," in Proceedings of the American Societyfor Engineering Education Annual Conference, Salt Lake City, Utah, 2018.
and Q&A 3:15pm 3:45pm Instructional Philosophy Sola Adesope 3:45pm 4:00pm Break 4:00pm 4:55pm LC-DLM Set I: Breakout groups based on Hub Coordinators hub 4:55pm 5:00pm Closing BERNIE VAN WIE*Note: For day 2, please come with DLMs setup and prepared O CTO B ER 2, 2 0 20 START END ITEM SPEAKER TIME TIME 2:00PM 2:10PM Welcome to Day 2 – brief discussion of ac- BERNIE VAN WIE tivities 2:10PM 2:35PM Fluids DLMs Session 2:35PM 2:45PM Debrief / Questions 2:45PM
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students.Furthermore, information about the ACCESS program was shared with the local and statecommunities and appropriate recruiting materials were developed.3.1 Recruitment of High School StudentsRecruiting efforts focusing on high school students included making presentations to prospectivestudents and their families at the WVU Statler College High School Visitation Days eachsemester (on-campus for fall 2019 and spring 2020 and virtually for fall 2020) and sendingemails to prospective and admitted incoming students for the 2020-2021 and 2021-2022academic years. Students in the Fundamentals of Engineering Program (FEP) learned aboutACCESS through presentations given by project personnel in fall 2019 (in-person) and fall 2020(recording and live online Q&A
and schema theory. Educational Psychology Review, 11(4), 291-324. [10] Zhu, Q., & Zoltowski, C. B., & Feister, M. K., & Buzzanell, P. M., & Oakes, W. C., & Mead, A. D. (2014, June), The Development of an Instrument for Assessing Individual Ethical Decision Making in Project-based Design Teams: Integrating Quantitative and Qualitative Methods. Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--23130[11] Linstone, H. A., & Turoff, M. (Eds.). (1975). The delphi method (pp. 3-12). Reading, MA: Addison-Wesley.[12] Reed, J.,Streiner, S., Burkey, D., Cimino, R., Pascal, J., & Young, M., "Mapping the Landscape of First
–819.Guilford, W. H. (2001). Teaching peer review and the process of scientific writing. Advances in Physiology Education, 25(3), 167–175.Lesh, R. A., Hoover, M., Hole, B., Kelly, A., & Post, T. (2000). Principles for Developing Thought Revealing Activities for Students and Teachers. In A. Kelly & R. A. Lesh (Eds.), Handbook of Research Design in Mathematics and Science Education (pp. 591–645). Mahwah, NJ: Lawrence Erlbaum.Moreira, D. de A., & da Silva, E. Q. (2003). A method to increase student interaction using student groups and peer review over the internet. Education and Information Technologies, 8(1), 47–54. https://doi.org/10.1023/A:1023926308385Sitthiworachart, J., & Joy, M. (2003). Web-based
STEM graduation rates at our institution. We felt thatthe decision to focus on the introductory math courses was, for us, the correct approach.Likewise the General Chemistry I (CHEM 1441) and the Chemistry for Engineers (1465)courses also demonstrated substantially better pass rates for ESP students.Fig 1. Pass rates / drop rates in the first three semesters’ implementation of ESP coursesU Texas Arlington Composite Results Table Fall 2010 thru Fall 2011Fall 2010, Spring 2011 & Fall 2011 compositeCourse A B C Pass D F I Q W Drop TotalMath 1323* ESP 5 16 6 56% 3 8 0 0 10 21% 48Math 1323* non-ESP (1) 13 14 24
-explored in engineering and the characterization of the formercan contribute to an understanding of the latter. A brief overview of the study is provided tocontextualize the research and its implications for workforce development.Postsecondary Student Engagement Survey (PosSES)The first phase of the study was the development and distribution of a survey on students’ out-of-class activities and outcomes. The instrument, termed the Postsecondary StudentEngagement Survey (PosSES), was generated through a process involving a literature review,Q-study with focus groups, panel of experts, and think aloud sessions. The survey was designedto understand the activities in which students participate, the barriers to participating, theincentive for
engineering.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1920421. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] National Science Board, "NSB-2018-2, Science and Engineering Indicators 2018," National Science Foundation, Arlington, VA, 2018. [Online]. Available: https://www.nsf.gov/statistics/indicators[2] D. E. Chubin, G. S. May, and E. L. Babco, "Diversifying the engineering workforce," Journal of Engineering Education, vol. 94, no. 1, pp. 73-86, 2005, doi: https://doi.org/10.1002/j.2168-9830.2005.tb00830.x.[3] Q. Clark
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, while the cumulative population of students who did not take EGR 101 isshown if Figure 4b. #))*$+,-$./.$0/120/3$456789:$&5;$0/<20/=$4561>8:$ +,,-"./0"#!#"1!'21!$" +,,-"./0"#!#"1!321!&"#*!" #!%" )*+$,-'$#&./$012$343$5446547$89:;;;;?8,80.9"60;,260"&*6%,>'==,@555A>'==,@55B,2'&6*6%,7278,!"%&"", M99N",-.)#)"K#&OK#'" M99N",-.)#)"K#POK#A" Q?C"R9E"M7N?:?0@",-." B0C?:,:0.;"60'==,@555A>'==,@55B,2'&6*6%,929
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